1 First glimpse

2 Overviews

2.1 Summaries of quantitative variables

2.2 Histograms of quantitative variables

2.3 Histogram of non-numeric variables

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2.4 Check for (near) zero variance (nz/nzv) variables

Predictors without (much) variance do not add to the model. Better exclude them, at least know them.

The variables with near zero variance are Dystymia, Agoraphobia, SeparationAnx, PTSD, ODD, EatingDis.

2.5 Check for highly correlated variables

Highly correlated (>.90) do not provide more information, better exclude them.

## [1] NA

No variables are highly correlated (>.90) in this dataset.

2.6 Missing values

2.7 Checking Scale quality

Scale quality involves aspects as intercorrelation of items of a scale, internal consisteny, score distribution, and the like. Let’s see.

2.7.1 Univariate distributions of sum scores

Let’s check the distribution for the sum scores variables (which are: CYBOCS_pre_sum, ChOCI_R_C_sumsym_PRE, ChOCI_R_C_sumimp_PRE, EWSASC_sum_PRE, SCAS_S_C_sum_PRE, CDI_S_sum_PRE, ChOCI_R_P_sumsym_PRE, ChOCI_R_P_sumimp_PRE, FAS_PR_sum_PRE, EWSASP_sum_PRE, SCAS_S_P_sum_PRE, responder_3m_f, CYBOCS_3m.

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2.7.2 Correlation of comorbidity

If one suffers from one comorbidity, does he/she suffer (in general) from other comorbidities too? NZV variables are excluded.

We should do this more stringently, but let’s start with a brief look to the items of ChOCI, to see whether they are correlated (as they should be, at least for common subscale-items). Those are quite a few.

2.7.3 ChOCI R C

## 
## Reliability analysis   
## Call: psych::alpha(x = data.frame(ChOCI_items), check.keys = TRUE)
## 
##   raw_alpha std.alpha G6(smc) average_r S/N   ase mean   sd
##       0.87      0.87    0.95      0.17 6.8 0.024  1.2 0.38
## 
##  lower alpha upper     95% confidence boundaries
## 0.82 0.87 0.91 
## 
##  Reliability if an item is dropped:
##                   raw_alpha std.alpha G6(smc) average_r S/N alpha se
## ChOCI_R_C_1_PRE        0.86      0.87    0.95      0.17 6.5    0.024
## ChOCI_R_C_2_PRE        0.87      0.87    0.95      0.18 6.8    0.024
## ChOCI_R_C_3_PRE        0.86      0.87    0.95      0.17 6.5    0.024
## ChOCI_R_C_4_PRE        0.86      0.87    0.95      0.18 6.6    0.024
## ChOCI_R_C_5_PRE        0.87      0.87    0.95      0.18 7.0    0.023
## ChOCI_R_C_6_PRE        0.87      0.87    0.95      0.18 6.7    0.024
## ChOCI_R_C_7_PRE        0.86      0.87    0.95      0.17 6.5    0.024
## ChOCI_R_C_8_PRE        0.87      0.87    0.95      0.18 6.7    0.023
## ChOCI_R_C_9_PRE        0.87      0.87    0.95      0.18 6.7    0.024
## ChOCI_R_C_10_PRE       0.86      0.87    0.95      0.17 6.4    0.025
## ChOCI_R_C_12_PRE       0.86      0.86    0.95      0.17 6.3    0.026
## ChOCI_R_C_13_PRE       0.85      0.86    0.95      0.17 6.2    0.026
## ChOCI_R_C_14_PRE       0.86      0.87    0.95      0.17 6.5    0.025
## ChOCI_R_C_15_PRE       0.87      0.87    0.95      0.18 6.9    0.023
## ChOCI_R_C_16_PRE       0.86      0.86    0.95      0.17 6.4    0.025
## ChOCI_R_C_17_PRE       0.86      0.87    0.95      0.17 6.4    0.025
## ChOCI_R_C_18_PRE       0.86      0.87    0.95      0.17 6.5    0.024
## ChOCI_R_C_19_PRE       0.86      0.87    0.95      0.17 6.4    0.024
## ChOCI_R_C_20_PRE       0.86      0.86    0.95      0.17 6.3    0.025
## ChOCI_R_C_21_PRE       0.86      0.87    0.95      0.18 6.6    0.024
## ChOCI_R_C_22_PRE       0.86      0.86    0.95      0.17 6.4    0.024
## ChOCI_R_C_23_PRE       0.86      0.87    0.95      0.17 6.5    0.024
## ChOCI_R_C_24_PRE       0.86      0.87    0.95      0.17 6.5    0.024
## ChOCI_R_C_25_PRE       0.86      0.87    0.95      0.17 6.5    0.024
## ChOCI_R_C_26_PRE       0.87      0.87    0.96      0.18 7.0    0.023
## ChOCI_R_C_27_PRE       0.86      0.86    0.95      0.17 6.3    0.024
## ChOCI_R_C_29_PRE       0.86      0.87    0.95      0.17 6.5    0.024
## ChOCI_R_C_30_PRE       0.86      0.86    0.95      0.17 6.4    0.025
## ChOCI_R_C_31_PRE       0.86      0.86    0.95      0.17 6.4    0.025
## ChOCI_R_C_32_PRE-      0.87      0.87    0.95      0.18 7.0    0.023
## ChOCI_R_C_33_PRE       0.86      0.87    0.95      0.18 6.6    0.024
## ChOCI_R_C_34_PRE       0.86      0.87    0.95      0.17 6.5    0.025
## 
##  Item statistics 
##                    n raw.r std.r r.cor r.drop mean   sd
## ChOCI_R_C_1_PRE   61 0.454  0.46  0.45  0.392 1.03 0.89
## ChOCI_R_C_2_PRE   61 0.300  0.30  0.29  0.238 0.82 0.81
## ChOCI_R_C_3_PRE   61 0.446  0.45  0.44  0.395 1.16 0.73
## ChOCI_R_C_4_PRE   61 0.376  0.42  0.41  0.318 1.10 0.79
## ChOCI_R_C_5_PRE   61 0.138  0.16  0.14  0.081 0.61 0.69
## ChOCI_R_C_6_PRE   61 0.326  0.32  0.31  0.259 0.98 0.88
## ChOCI_R_C_7_PRE   61 0.448  0.48  0.47  0.397 0.54 0.74
## ChOCI_R_C_8_PRE   61 0.309  0.35  0.33  0.244 0.69 0.85
## ChOCI_R_C_9_PRE   61 0.335  0.36  0.33  0.282 0.61 0.71
## ChOCI_R_C_10_PRE  61 0.531  0.53  0.53  0.486 0.72 0.73
## ChOCI_R_C_12_PRE  61 0.701  0.65  0.65  0.660 2.08 0.88
## ChOCI_R_C_13_PRE  61 0.724  0.69  0.69  0.670 1.82 1.23
## ChOCI_R_C_14_PRE  61 0.525  0.50  0.50  0.458 2.56 1.04
## ChOCI_R_C_15_PRE  61 0.170  0.17  0.16  0.087 2.18 1.01
## ChOCI_R_C_16_PRE  61 0.606  0.58  0.58  0.559 2.48 0.85
## ChOCI_R_C_17_PRE  61 0.593  0.52  0.52  0.521 1.44 1.23
## ChOCI_R_C_18_PRE  61 0.436  0.50  0.49  0.393 0.43 0.62
## ChOCI_R_C_19_PRE  61 0.483  0.53  0.52  0.437 0.61 0.69
## ChOCI_R_C_20_PRE  61 0.559  0.59  0.58  0.519 0.52 0.67
## ChOCI_R_C_21_PRE  61 0.415  0.41  0.39  0.357 1.07 0.81
## ChOCI_R_C_22_PRE  61 0.518  0.55  0.54  0.474 0.46 0.70
## ChOCI_R_C_23_PRE  61 0.456  0.50  0.48  0.425 0.30 0.46
## ChOCI_R_C_24_PRE  61 0.409  0.45  0.44  0.370 0.26 0.54
## ChOCI_R_C_25_PRE  61 0.431  0.47  0.46  0.374 0.75 0.81
## ChOCI_R_C_26_PRE  61 0.082  0.14  0.11  0.035 0.33 0.57
## ChOCI_R_C_27_PRE  61 0.553  0.61  0.60  0.525 0.26 0.48
## ChOCI_R_C_29_PRE  61 0.507  0.47  0.46  0.439 1.98 1.04
## ChOCI_R_C_30_PRE  61 0.614  0.56  0.56  0.551 1.57 1.13
## ChOCI_R_C_31_PRE  61 0.594  0.58  0.58  0.533 2.54 1.06
## ChOCI_R_C_32_PRE- 61 0.170  0.13  0.11  0.086 2.03 1.03
## ChOCI_R_C_33_PRE  61 0.438  0.41  0.41  0.385 2.51 0.77
## ChOCI_R_C_34_PRE  61 0.540  0.46  0.46  0.468 1.26 1.15
## 
## Non missing response frequency for each item
##                     0    1    2    3    4 miss
## ChOCI_R_C_1_PRE  0.38 0.21 0.41 0.00 0.00    0
## ChOCI_R_C_2_PRE  0.43 0.33 0.25 0.00 0.00    0
## ChOCI_R_C_3_PRE  0.20 0.44 0.36 0.00 0.00    0
## ChOCI_R_C_4_PRE  0.26 0.38 0.36 0.00 0.00    0
## ChOCI_R_C_5_PRE  0.51 0.38 0.11 0.00 0.00    0
## ChOCI_R_C_6_PRE  0.39 0.23 0.38 0.00 0.00    0
## ChOCI_R_C_7_PRE  0.61 0.25 0.15 0.00 0.00    0
## ChOCI_R_C_8_PRE  0.56 0.20 0.25 0.00 0.00    0
## ChOCI_R_C_9_PRE  0.52 0.34 0.13 0.00 0.00    0
## ChOCI_R_C_10_PRE 0.44 0.39 0.16 0.00 0.00    0
## ChOCI_R_C_12_PRE 0.02 0.21 0.52 0.16 0.08    0
## ChOCI_R_C_13_PRE 0.15 0.31 0.21 0.23 0.10    0
## ChOCI_R_C_14_PRE 0.05 0.11 0.21 0.48 0.15    0
## ChOCI_R_C_15_PRE 0.03 0.23 0.36 0.28 0.10    0
## ChOCI_R_C_16_PRE 0.02 0.11 0.31 0.49 0.07    0
## ChOCI_R_C_17_PRE 0.31 0.23 0.18 0.26 0.02    0
## ChOCI_R_C_18_PRE 0.64 0.30 0.07 0.00 0.00    0
## ChOCI_R_C_19_PRE 0.51 0.38 0.11 0.00 0.00    0
## ChOCI_R_C_20_PRE 0.57 0.33 0.10 0.00 0.00    0
## ChOCI_R_C_21_PRE 0.30 0.34 0.36 0.00 0.00    0
## ChOCI_R_C_22_PRE 0.66 0.23 0.11 0.00 0.00    0
## ChOCI_R_C_23_PRE 0.70 0.30 0.00 0.00 0.00    0
## ChOCI_R_C_24_PRE 0.79 0.16 0.05 0.00 0.00    0
## ChOCI_R_C_25_PRE 0.48 0.30 0.23 0.00 0.00    0
## ChOCI_R_C_26_PRE 0.72 0.23 0.05 0.00 0.00    0
## ChOCI_R_C_27_PRE 0.75 0.23 0.02 0.00 0.00    0
## ChOCI_R_C_29_PRE 0.03 0.34 0.33 0.20 0.10    0
## ChOCI_R_C_30_PRE 0.21 0.26 0.30 0.20 0.03    0
## ChOCI_R_C_31_PRE 0.05 0.11 0.25 0.43 0.16    0
## ChOCI_R_C_32_PRE 0.05 0.31 0.34 0.21 0.08    0
## ChOCI_R_C_33_PRE 0.02 0.05 0.41 0.46 0.07    0
## ChOCI_R_C_34_PRE 0.33 0.30 0.18 0.18 0.02    0

One item was negatively correlated with the scale (ChOCI_R_C_26_PRE-). It should be checked.

2.7.4 ChOCI R P

## 
## Reliability analysis   
## Call: psych::alpha(x = data.frame(ChOCI_items_2), check.keys = TRUE)
## 
##   raw_alpha std.alpha G6(smc) average_r S/N   ase mean   sd
##       0.85      0.84    0.95      0.14 5.2 0.026  1.3 0.34
## 
##  lower alpha upper     95% confidence boundaries
## 0.8 0.85 0.9 
## 
##  Reliability if an item is dropped:
##                   raw_alpha std.alpha G6(smc) average_r S/N alpha se
## ChOCI_R_P_1_PRE        0.85      0.84    0.94      0.14 5.1    0.026
## ChOCI_R_P_2_PRE        0.85      0.83    0.94      0.14 5.0    0.026
## ChOCI_R_P_3_PRE        0.85      0.84    0.94      0.15 5.3    0.025
## ChOCI_R_P_4_PRE        0.85      0.83    0.94      0.14 5.0    0.026
## ChOCI_R_P_5_PRE        0.85      0.84    0.94      0.14 5.2    0.025
## ChOCI_R_P_6_PRE        0.85      0.83    0.94      0.14 5.0    0.026
## ChOCI_R_P_7_PRE        0.85      0.84    0.95      0.14 5.1    0.026
## ChOCI_R_P_8_PRE        0.85      0.83    0.94      0.14 5.0    0.026
## ChOCI_R_P_9_PRE        0.85      0.84    0.95      0.14 5.2    0.025
## ChOCI_R_P_10_PRE       0.84      0.83    0.94      0.14 4.8    0.027
## ChOCI_R_P_12_PRE       0.84      0.83    0.94      0.13 4.8    0.027
## ChOCI_R_P_13_PRE       0.84      0.83    0.94      0.13 4.8    0.028
## ChOCI_R_P_14_PRE       0.84      0.83    0.94      0.14 4.8    0.028
## ChOCI_R_P_15_PRE       0.85      0.84    0.94      0.14 5.1    0.026
## ChOCI_R_P_16_PRE       0.84      0.83    0.94      0.13 4.8    0.027
## ChOCI_R_P_17_PRE       0.84      0.83    0.94      0.13 4.8    0.028
## ChOCI_R_P_18_PRE       0.85      0.84    0.94      0.14 5.1    0.026
## ChOCI_R_P_19_PRE       0.85      0.83    0.94      0.14 4.9    0.027
## ChOCI_R_P_20_PRE       0.85      0.83    0.94      0.14 5.0    0.026
## ChOCI_R_P_21_PRE       0.85      0.83    0.94      0.14 5.1    0.026
## ChOCI_R_P_22_PRE       0.85      0.84    0.94      0.14 5.1    0.026
## ChOCI_R_P_23_PRE       0.85      0.83    0.94      0.14 5.0    0.026
## ChOCI_R_P_24_PRE       0.85      0.84    0.94      0.14 5.1    0.026
## ChOCI_R_P_25_PRE       0.85      0.84    0.94      0.14 5.2    0.025
## ChOCI_R_P_26_PRE-      0.85      0.85    0.95      0.15 5.5    0.026
## ChOCI_R_P_27_PRE       0.85      0.84    0.95      0.14 5.2    0.026
## ChOCI_R_P_29_PRE       0.84      0.83    0.94      0.14 4.9    0.027
## ChOCI_R_P_30_PRE       0.84      0.83    0.94      0.13 4.7    0.029
## ChOCI_R_P_31_PRE       0.84      0.83    0.94      0.13 4.8    0.028
## ChOCI_R_P_32_PRE       0.85      0.84    0.94      0.14 5.1    0.026
## ChOCI_R_P_33_PRE       0.84      0.83    0.94      0.14 4.9    0.027
## ChOCI_R_P_34_PRE       0.84      0.83    0.94      0.13 4.7    0.029
## 
##  Item statistics 
##                    n raw.r std.r  r.cor r.drop mean   sd
## ChOCI_R_P_1_PRE   61 0.311 0.291 0.2641  0.235 1.10 0.89
## ChOCI_R_P_2_PRE   61 0.377 0.424 0.4084  0.317 0.93 0.73
## ChOCI_R_P_3_PRE   61 0.137 0.175 0.1491  0.072 1.11 0.71
## ChOCI_R_P_4_PRE   61 0.423 0.436 0.4267  0.367 0.95 0.72
## ChOCI_R_P_5_PRE   61 0.181 0.221 0.2071  0.120 0.44 0.67
## ChOCI_R_P_6_PRE   61 0.394 0.399 0.3758  0.327 0.98 0.83
## ChOCI_R_P_7_PRE   61 0.229 0.291 0.2634  0.172 0.39 0.64
## ChOCI_R_P_8_PRE   61 0.356 0.379 0.3510  0.300 0.41 0.67
## ChOCI_R_P_9_PRE   61 0.175 0.240 0.2146  0.112 0.51 0.70
## ChOCI_R_P_10_PRE  61 0.526 0.551 0.5444  0.475 0.89 0.73
## ChOCI_R_P_12_PRE  61 0.590 0.575 0.5699  0.550 2.03 0.63
## ChOCI_R_P_13_PRE  61 0.646 0.581 0.5853  0.579 1.89 1.13
## ChOCI_R_P_14_PRE  61 0.603 0.556 0.5508  0.542 2.64 0.95
## ChOCI_R_P_15_PRE  61 0.381 0.341 0.3324  0.294 2.54 1.04
## ChOCI_R_P_16_PRE  61 0.599 0.561 0.5579  0.545 2.44 0.85
## ChOCI_R_P_17_PRE  61 0.638 0.579 0.5872  0.574 1.72 1.07
## ChOCI_R_P_18_PRE  61 0.259 0.325 0.3101  0.200 0.56 0.67
## ChOCI_R_P_19_PRE  61 0.462 0.473 0.4561  0.409 0.52 0.70
## ChOCI_R_P_20_PRE  61 0.347 0.400 0.3945  0.289 0.56 0.70
## ChOCI_R_P_21_PRE  61 0.340 0.366 0.3522  0.279 0.98 0.72
## ChOCI_R_P_22_PRE  61 0.250 0.314 0.3016  0.191 0.36 0.66
## ChOCI_R_P_23_PRE  61 0.347 0.414 0.3961  0.317 0.15 0.36
## ChOCI_R_P_24_PRE  61 0.296 0.364 0.3475  0.267 0.13 0.34
## ChOCI_R_P_25_PRE  61 0.171 0.227 0.2136  0.115 0.59 0.62
## ChOCI_R_P_26_PRE- 61 0.061 0.034 0.0049  0.020 3.85 0.44
## ChOCI_R_P_27_PRE  61 0.169 0.246 0.2229  0.132 0.16 0.42
## ChOCI_R_P_29_PRE  61 0.571 0.541 0.5417  0.505 1.89 0.98
## ChOCI_R_P_30_PRE  61 0.705 0.635 0.6425  0.646 1.59 1.13
## ChOCI_R_P_31_PRE  61 0.643 0.605 0.6045  0.583 2.25 1.01
## ChOCI_R_P_32_PRE  61 0.427 0.358 0.3549  0.343 2.13 1.06
## ChOCI_R_P_33_PRE  61 0.537 0.478 0.4814  0.468 2.54 0.98
## ChOCI_R_P_34_PRE  61 0.717 0.662 0.6705  0.666 1.57 1.02
## 
## Non missing response frequency for each item
##                     0    1    2    3    4 miss
## ChOCI_R_P_1_PRE  0.34 0.21 0.44 0.00 0.00    0
## ChOCI_R_P_2_PRE  0.30 0.48 0.23 0.00 0.00    0
## ChOCI_R_P_3_PRE  0.20 0.49 0.31 0.00 0.00    0
## ChOCI_R_P_4_PRE  0.28 0.49 0.23 0.00 0.00    0
## ChOCI_R_P_5_PRE  0.66 0.25 0.10 0.00 0.00    0
## ChOCI_R_P_6_PRE  0.34 0.33 0.33 0.00 0.00    0
## ChOCI_R_P_7_PRE  0.69 0.23 0.08 0.00 0.00    0
## ChOCI_R_P_8_PRE  0.69 0.21 0.10 0.00 0.00    0
## ChOCI_R_P_9_PRE  0.61 0.28 0.11 0.00 0.00    0
## ChOCI_R_P_10_PRE 0.33 0.46 0.21 0.00 0.00    0
## ChOCI_R_P_12_PRE 0.00 0.16 0.66 0.16 0.02    0
## ChOCI_R_P_13_PRE 0.13 0.21 0.38 0.20 0.08    0
## ChOCI_R_P_14_PRE 0.07 0.02 0.25 0.56 0.11    0
## ChOCI_R_P_15_PRE 0.05 0.05 0.43 0.26 0.21    0
## ChOCI_R_P_16_PRE 0.00 0.11 0.44 0.33 0.11    0
## ChOCI_R_P_17_PRE 0.18 0.20 0.34 0.28 0.00    0
## ChOCI_R_P_18_PRE 0.54 0.36 0.10 0.00 0.00    0
## ChOCI_R_P_19_PRE 0.59 0.30 0.11 0.00 0.00    0
## ChOCI_R_P_20_PRE 0.56 0.33 0.11 0.00 0.00    0
## ChOCI_R_P_21_PRE 0.26 0.49 0.25 0.00 0.00    0
## ChOCI_R_P_22_PRE 0.74 0.16 0.10 0.00 0.00    0
## ChOCI_R_P_23_PRE 0.85 0.15 0.00 0.00 0.00    0
## ChOCI_R_P_24_PRE 0.87 0.13 0.00 0.00 0.00    0
## ChOCI_R_P_25_PRE 0.48 0.46 0.07 0.00 0.00    0
## ChOCI_R_P_26_PRE 0.89 0.08 0.03 0.00 0.00    0
## ChOCI_R_P_27_PRE 0.85 0.13 0.02 0.00 0.00    0
## ChOCI_R_P_29_PRE 0.08 0.23 0.48 0.15 0.07    0
## ChOCI_R_P_30_PRE 0.21 0.25 0.31 0.20 0.03    0
## ChOCI_R_P_31_PRE 0.07 0.16 0.28 0.44 0.05    0
## ChOCI_R_P_32_PRE 0.08 0.15 0.43 0.25 0.10    0
## ChOCI_R_P_33_PRE 0.05 0.07 0.31 0.44 0.13    0
## ChOCI_R_P_34_PRE 0.20 0.23 0.38 0.20 0.00    0

2.7.5 CYBOCS

## 
## Reliability analysis   
## Call: psych::alpha(x = data.frame(cybocs_items), check.keys = TRUE)
## 
##   raw_alpha std.alpha G6(smc) average_r S/N   ase mean  sd
##       0.48      0.71     0.7      0.33 2.4 0.082    8 1.9
## 
##  lower alpha upper     95% confidence boundaries
## 0.32 0.48 0.64 
## 
##  Reliability if an item is dropped:
##                    raw_alpha std.alpha G6(smc) average_r S/N alpha se
## CYBOCS_pre_OBS          0.36      0.63    0.58      0.30 1.7    0.077
## CYBOCS_pre_COMP         0.30      0.59    0.53      0.26 1.4    0.092
## CYBOCS_pre_insight      0.47      0.70    0.68      0.37 2.3    0.088
## CYBOCS_pre_avoid        0.43      0.65    0.64      0.32 1.9    0.093
## CYBOCS_3m               0.69      0.72    0.68      0.39 2.6    0.045
## 
##  Item statistics 
##                     n raw.r std.r r.cor r.drop mean   sd
## CYBOCS_pre_OBS     61  0.54  0.73  0.68   0.39 11.0 2.40
## CYBOCS_pre_COMP    61  0.60  0.80  0.78   0.53 11.6 2.22
## CYBOCS_pre_insight 59  0.37  0.61  0.44   0.29  1.7 0.79
## CYBOCS_pre_avoid   55  0.50  0.69  0.56   0.47  1.6 0.95
## CYBOCS_3m          56  0.81  0.57  0.39   0.30 13.5 6.32

Alpha is at borderline (low). CYBOCS_3m appears to misfit. Maybe it is a dependent variable??? That would explain the result.

2.7.6 EWSASC

## 
## Reliability analysis   
## Call: psych::alpha(x = data.frame(EWSASC_items))
## 
##   raw_alpha std.alpha G6(smc) average_r S/N   ase mean  sd
##       0.86      0.86    0.88      0.55 6.2 0.028    3 1.9
## 
##  lower alpha upper     95% confidence boundaries
## 0.81 0.86 0.92 
## 
##  Reliability if an item is dropped:
##                               raw_alpha std.alpha G6(smc) average_r S/N
## EWSASC_schoolandwork_PRE           0.87      0.87    0.89      0.63 6.9
## EWSASC_everydaysituations_PRE      0.88      0.87    0.89      0.62 6.7
## EWSASC_social_PRE                  0.78      0.78    0.76      0.47 3.6
## EWSASC_leisuretime_PRE             0.79      0.78    0.76      0.48 3.6
## EWSASC_family_PRE                  0.83      0.83    0.85      0.55 4.9
##                               alpha se
## EWSASC_schoolandwork_PRE         0.028
## EWSASC_everydaysituations_PRE    0.026
## EWSASC_social_PRE                0.045
## EWSASC_leisuretime_PRE           0.045
## EWSASC_family_PRE                0.035
## 
##  Item statistics 
##                                n raw.r std.r r.cor r.drop mean  sd
## EWSASC_schoolandwork_PRE      61  0.67  0.68  0.54   0.51  3.4 2.1
## EWSASC_everydaysituations_PRE 61  0.70  0.69  0.55   0.52  3.5 2.5
## EWSASC_social_PRE             61  0.92  0.92  0.97   0.87  2.6 2.5
## EWSASC_leisuretime_PRE        61  0.92  0.91  0.96   0.86  2.6 2.5
## EWSASC_family_PRE             61  0.80  0.80  0.73   0.68  2.7 2.2
## 
## Non missing response frequency for each item
##                                  0    1    2    3    4    5    6    7    8
## EWSASC_schoolandwork_PRE      0.05 0.10 0.26 0.20 0.13 0.07 0.07 0.10 0.03
## EWSASC_everydaysituations_PRE 0.16 0.08 0.18 0.05 0.15 0.05 0.23 0.07 0.03
## EWSASC_social_PRE             0.28 0.15 0.15 0.11 0.07 0.08 0.07 0.07 0.03
## EWSASC_leisuretime_PRE        0.28 0.16 0.13 0.11 0.07 0.07 0.07 0.08 0.03
## EWSASC_family_PRE             0.20 0.16 0.16 0.15 0.13 0.07 0.07 0.05 0.02
##                               miss
## EWSASC_schoolandwork_PRE         0
## EWSASC_everydaysituations_PRE    0
## EWSASC_social_PRE                0
## EWSASC_leisuretime_PRE           0
## EWSASC_family_PRE                0

Good.

2.7.7 SCAS

## 
## Reliability analysis   
## Call: psych::alpha(x = data.frame(SCAS_items))
## 
##   raw_alpha std.alpha G6(smc) average_r S/N   ase mean   sd
##       0.86      0.87    0.93      0.21 6.5 0.025 0.99 0.44
## 
##  lower alpha upper     95% confidence boundaries
## 0.81 0.86 0.91 
## 
##  Reliability if an item is dropped:
##                 raw_alpha std.alpha G6(smc) average_r S/N alpha se
## SCAS_S_C_1_PRE       0.86      0.86    0.93      0.22 6.4    0.026
## SCAS_S_C_2_PRE       0.86      0.86    0.92      0.21 6.1    0.027
## SCAS_S_C_3_PRE       0.86      0.86    0.93      0.21 6.2    0.027
## SCAS_S_C_4_PRE       0.85      0.86    0.92      0.21 6.1    0.027
## SCAS_S_C_5_PRE       0.86      0.86    0.93      0.21 6.2    0.026
## SCAS_S_C_6_PRE       0.86      0.86    0.93      0.21 6.2    0.027
## SCAS_S_C_7_PRE       0.86      0.86    0.93      0.21 6.2    0.027
## SCAS_S_C_8_PRE       0.86      0.86    0.93      0.22 6.3    0.026
## SCAS_S_C_9_PRE       0.86      0.86    0.93      0.21 6.2    0.027
## SCAS_S_C_10_PRE      0.86      0.86    0.92      0.21 6.1    0.027
## SCAS_S_C_11_PRE      0.86      0.87    0.93      0.22 6.5    0.026
## SCAS_S_C_12_PRE      0.86      0.87    0.93      0.22 6.5    0.025
## SCAS_S_P_1_PRE       0.86      0.86    0.92      0.21 6.2    0.027
## SCAS_S_P_2_PRE       0.86      0.86    0.93      0.21 6.2    0.027
## SCAS_S_P_3_PRE       0.86      0.86    0.92      0.21 6.3    0.027
## SCAS_S_P_4_PRE       0.86      0.87    0.93      0.22 6.5    0.026
## SCAS_S_P_5_PRE       0.86      0.86    0.93      0.22 6.3    0.026
## SCAS_S_P_6_PRE       0.86      0.86    0.93      0.21 6.2    0.027
## SCAS_S_P_7_PRE       0.86      0.86    0.93      0.21 6.2    0.027
## SCAS_S_P_8_PRE       0.86      0.86    0.92      0.21 6.2    0.027
## SCAS_S_P_9_PRE       0.86      0.86    0.93      0.21 6.3    0.026
## SCAS_S_P_10_PRE      0.85      0.86    0.92      0.20 5.9    0.028
## SCAS_S_P_11_PRE      0.86      0.86    0.93      0.22 6.3    0.026
## SCAS_S_P_12_PRE      0.86      0.87    0.93      0.22 6.6    0.025
## 
##  Item statistics 
##                  n raw.r std.r r.cor r.drop mean   sd
## SCAS_S_C_1_PRE  61  0.43  0.42  0.41   0.36 1.03 0.91
## SCAS_S_C_2_PRE  61  0.57  0.58  0.57   0.51 0.85 0.83
## SCAS_S_C_3_PRE  61  0.56  0.55  0.54   0.50 1.57 0.96
## SCAS_S_C_4_PRE  61  0.58  0.59  0.57   0.53 0.54 0.79
## SCAS_S_C_5_PRE  61  0.50  0.51  0.49   0.43 1.02 0.94
## SCAS_S_C_6_PRE  61  0.51  0.51  0.49   0.45 1.59 0.88
## SCAS_S_C_7_PRE  61  0.52  0.52  0.50   0.46 0.79 0.90
## SCAS_S_C_8_PRE  61  0.48  0.47  0.45   0.40 1.56 1.01
## SCAS_S_C_9_PRE  61  0.53  0.54  0.53   0.47 0.56 0.87
## SCAS_S_C_10_PRE 61  0.57  0.57  0.57   0.50 0.64 0.91
## SCAS_S_C_11_PRE 61  0.39  0.38  0.33   0.31 1.16 0.97
## SCAS_S_C_12_PRE 61  0.38  0.37  0.34   0.29 1.26 1.06
## SCAS_S_P_1_PRE  61  0.51  0.51  0.50   0.44 0.87 0.94
## SCAS_S_P_2_PRE  61  0.52  0.52  0.51   0.46 0.82 0.85
## SCAS_S_P_3_PRE  61  0.51  0.50  0.50   0.44 1.52 0.98
## SCAS_S_P_4_PRE  61  0.37  0.37  0.35   0.29 0.56 0.94
## SCAS_S_P_5_PRE  61  0.47  0.48  0.44   0.40 0.93 0.85
## SCAS_S_P_6_PRE  61  0.55  0.55  0.54   0.49 1.54 0.91
## SCAS_S_P_7_PRE  61  0.53  0.54  0.52   0.46 0.61 0.90
## SCAS_S_P_8_PRE  61  0.52  0.51  0.51   0.45 1.26 1.03
## SCAS_S_P_9_PRE  61  0.46  0.48  0.46   0.41 0.34 0.57
## SCAS_S_P_10_PRE 61  0.68  0.70  0.69   0.64 0.44 0.74
## SCAS_S_P_11_PRE 61  0.45  0.46  0.43   0.38 0.89 0.91
## SCAS_S_P_12_PRE 61  0.29  0.29  0.25   0.21 1.30 0.90
## 
## Non missing response frequency for each item
##                    0    1    2    3 miss
## SCAS_S_C_1_PRE  0.28 0.52 0.08 0.11    0
## SCAS_S_C_2_PRE  0.39 0.39 0.18 0.03    0
## SCAS_S_C_3_PRE  0.15 0.31 0.36 0.18    0
## SCAS_S_C_4_PRE  0.61 0.28 0.08 0.03    0
## SCAS_S_C_5_PRE  0.34 0.38 0.20 0.08    0
## SCAS_S_C_6_PRE  0.10 0.38 0.36 0.16    0
## SCAS_S_C_7_PRE  0.48 0.31 0.16 0.05    0
## SCAS_S_C_8_PRE  0.15 0.38 0.25 0.23    0
## SCAS_S_C_9_PRE  0.66 0.16 0.15 0.03    0
## SCAS_S_C_10_PRE 0.61 0.20 0.15 0.05    0
## SCAS_S_C_11_PRE 0.30 0.34 0.26 0.10    0
## SCAS_S_C_12_PRE 0.30 0.31 0.23 0.16    0
## SCAS_S_P_1_PRE  0.41 0.41 0.08 0.10    0
## SCAS_S_P_2_PRE  0.39 0.46 0.08 0.07    0
## SCAS_S_P_3_PRE  0.15 0.38 0.28 0.20    0
## SCAS_S_P_4_PRE  0.67 0.18 0.07 0.08    0
## SCAS_S_P_5_PRE  0.34 0.43 0.18 0.05    0
## SCAS_S_P_6_PRE  0.11 0.39 0.33 0.16    0
## SCAS_S_P_7_PRE  0.62 0.20 0.13 0.05    0
## SCAS_S_P_8_PRE  0.28 0.33 0.25 0.15    0
## SCAS_S_P_9_PRE  0.70 0.25 0.05 0.00    0
## SCAS_S_P_10_PRE 0.69 0.20 0.10 0.02    0
## SCAS_S_P_11_PRE 0.44 0.26 0.26 0.03    0
## SCAS_S_P_12_PRE 0.23 0.31 0.39 0.07    0

2.7.8 CDI

## 
## Reliability analysis   
## Call: psych::alpha(x = data.frame(CDI_items))
## 
##   raw_alpha std.alpha G6(smc) average_r S/N   ase mean   sd
##       0.81      0.81    0.86      0.28 4.2 0.035  0.4 0.31
## 
##  lower alpha upper     95% confidence boundaries
## 0.74 0.81 0.88 
## 
##  Reliability if an item is dropped:
##               raw_alpha std.alpha G6(smc) average_r S/N alpha se
## PanicDisorder      0.82      0.82    0.85      0.32 4.7    0.035
## CDI_S_1_PRE        0.79      0.78    0.83      0.26 3.6    0.039
## CDI_S_2_PRE        0.78      0.78    0.83      0.27 3.6    0.040
## CDI_S_3_PRE        0.80      0.80    0.84      0.28 3.9    0.037
## CDI_S_4_PRE        0.77      0.77    0.81      0.25 3.3    0.041
## CDI_S_5_PRE        0.79      0.79    0.83      0.27 3.8    0.038
## CDI_S_6_PRE        0.80      0.79    0.84      0.28 3.8    0.037
## CDI_S_7_PRE        0.79      0.79    0.84      0.27 3.7    0.039
## CDI_S_8_PRE        0.78      0.79    0.83      0.27 3.7    0.039
## CDI_S_9_PRE        0.80      0.80    0.85      0.29 4.1    0.036
## CDI_S_10_PRE       0.79      0.79    0.84      0.27 3.8    0.038
## 
##  Item statistics 
##                n raw.r std.r r.cor r.drop  mean   sd
## PanicDisorder 61  0.21  0.29  0.20   0.13 0.082 0.28
## CDI_S_1_PRE   61  0.64  0.67  0.64   0.54 0.328 0.51
## CDI_S_2_PRE   61  0.67  0.65  0.61   0.55 0.492 0.62
## CDI_S_3_PRE   61  0.52  0.55  0.49   0.41 0.393 0.49
## CDI_S_4_PRE   61  0.75  0.76  0.77   0.69 0.262 0.44
## CDI_S_5_PRE   61  0.59  0.59  0.56   0.49 0.197 0.44
## CDI_S_6_PRE   61  0.62  0.59  0.53   0.47 0.885 0.71
## CDI_S_7_PRE   61  0.64  0.62  0.55   0.52 0.623 0.58
## CDI_S_8_PRE   61  0.66  0.64  0.62   0.54 0.492 0.62
## CDI_S_9_PRE   61  0.51  0.49  0.42   0.37 0.508 0.57
## CDI_S_10_PRE  61  0.57  0.60  0.56   0.48 0.164 0.42
## 
## Non missing response frequency for each item
##                  0    1    2 miss
## PanicDisorder 0.92 0.08 0.00    0
## CDI_S_1_PRE   0.69 0.30 0.02    0
## CDI_S_2_PRE   0.57 0.36 0.07    0
## CDI_S_3_PRE   0.61 0.39 0.00    0
## CDI_S_4_PRE   0.74 0.26 0.00    0
## CDI_S_5_PRE   0.82 0.16 0.02    0
## CDI_S_6_PRE   0.31 0.49 0.20    0
## CDI_S_7_PRE   0.43 0.52 0.05    0
## CDI_S_8_PRE   0.57 0.36 0.07    0
## CDI_S_9_PRE   0.52 0.44 0.03    0
## CDI_S_10_PRE  0.85 0.13 0.02    0

2.7.9 FAS

## 
## Reliability analysis   
## Call: psych::alpha(x = data.frame(FAS_items))
## 
##   raw_alpha std.alpha G6(smc) average_r S/N   ase mean   sd
##       0.91      0.92    0.94      0.48  11 0.016  1.4 0.95
## 
##  lower alpha upper     95% confidence boundaries
## 0.88 0.91 0.95 
## 
##  Reliability if an item is dropped:
##               raw_alpha std.alpha G6(smc) average_r  S/N alpha se
## FAS_PR_1_PRE       0.91      0.92    0.94      0.50 11.0    0.017
## FAS_PR_2_PRE       0.90      0.91    0.93      0.47  9.6    0.019
## FAS_PR_3_PRE       0.91      0.91    0.94      0.49 10.5    0.017
## FAS_PR_4_PRE       0.91      0.91    0.94      0.49 10.7    0.017
## FAS_PR_5_PRE       0.91      0.91    0.93      0.48 10.1    0.017
## FAS_PR_6_PRE       0.91      0.91    0.93      0.47  9.8    0.018
## FAS_PR_7_PRE       0.91      0.91    0.93      0.47  9.9    0.018
## FAS_PR_8_PRE       0.91      0.91    0.93      0.48 10.1    0.017
## FAS_PR_9_PRE       0.90      0.91    0.93      0.47  9.8    0.018
## FAS_PR_10_PRE      0.91      0.91    0.93      0.48 10.1    0.018
## FAS_PR_11_PRE      0.91      0.91    0.93      0.48 10.1    0.017
## FAS_PR_12_PRE      0.91      0.91    0.94      0.48 10.0    0.018
## 
##  Item statistics 
##                n raw.r std.r r.cor r.drop mean  sd
## FAS_PR_1_PRE  61  0.59  0.60  0.54   0.52 2.89 1.1
## FAS_PR_2_PRE  61  0.82  0.81  0.79   0.77 1.30 1.6
## FAS_PR_3_PRE  61  0.69  0.67  0.63   0.60 1.93 1.7
## FAS_PR_4_PRE  61  0.64  0.63  0.59   0.56 1.77 1.4
## FAS_PR_5_PRE  61  0.71  0.73  0.70   0.66 0.64 1.0
## FAS_PR_6_PRE  61  0.76  0.77  0.76   0.71 1.28 1.3
## FAS_PR_7_PRE  61  0.76  0.76  0.74   0.70 1.28 1.3
## FAS_PR_8_PRE  61  0.72  0.73  0.73   0.66 0.87 1.3
## FAS_PR_9_PRE  61  0.77  0.78  0.78   0.72 0.79 1.3
## FAS_PR_10_PRE 61  0.73  0.73  0.72   0.67 1.28 1.2
## FAS_PR_11_PRE 61  0.73  0.73  0.72   0.67 1.25 1.3
## FAS_PR_12_PRE 61  0.74  0.75  0.71   0.68 1.25 1.3
## 
## Non missing response frequency for each item
##                  0    1    2    3    4 miss
## FAS_PR_1_PRE  0.03 0.08 0.26 0.21 0.41    0
## FAS_PR_2_PRE  0.51 0.13 0.08 0.11 0.16    0
## FAS_PR_3_PRE  0.28 0.21 0.13 0.05 0.33    0
## FAS_PR_4_PRE  0.23 0.30 0.13 0.16 0.18    0
## FAS_PR_5_PRE  0.61 0.28 0.02 0.07 0.03    0
## FAS_PR_6_PRE  0.38 0.23 0.20 0.13 0.07    0
## FAS_PR_7_PRE  0.43 0.10 0.26 0.20 0.02    0
## FAS_PR_8_PRE  0.61 0.11 0.13 0.10 0.05    0
## FAS_PR_9_PRE  0.67 0.08 0.08 0.11 0.05    0
## FAS_PR_10_PRE 0.34 0.28 0.18 0.15 0.05    0
## FAS_PR_11_PRE 0.43 0.18 0.16 0.18 0.05    0
## FAS_PR_12_PRE 0.43 0.13 0.26 0.13 0.05    0

2.7.10 EWSAP

## 
## Reliability analysis   
## Call: psych::alpha(x = data.frame(EWSASP_items))
## 
##   raw_alpha std.alpha G6(smc) average_r S/N   ase mean  sd
##        0.8       0.8     0.8      0.45   4 0.041  3.1 1.8
## 
##  lower alpha upper     95% confidence boundaries
## 0.72 0.8 0.88 
## 
##  Reliability if an item is dropped:
##                               raw_alpha std.alpha G6(smc) average_r S/N
## EWSASP_schoolandwork_PRE           0.78      0.78    0.74      0.46 3.4
## EWSASP_everydaysituations_PRE      0.75      0.75    0.72      0.43 3.0
## EWSASP_social_PRE                  0.75      0.75    0.72      0.42 2.9
## EWSASP_leisuretime_PRE             0.77      0.77    0.76      0.46 3.4
## EWSASP_family_PRE                  0.77      0.77    0.72      0.46 3.4
##                               alpha se
## EWSASP_schoolandwork_PRE         0.047
## EWSASP_everydaysituations_PRE    0.053
## EWSASP_social_PRE                0.053
## EWSASP_leisuretime_PRE           0.048
## EWSASP_family_PRE                0.048
## 
##  Item statistics 
##                                n raw.r std.r r.cor r.drop mean  sd
## EWSASP_schoolandwork_PRE      61  0.72  0.72  0.63   0.54  4.0 2.5
## EWSASP_everydaysituations_PRE 61  0.79  0.78  0.71   0.63  3.5 2.6
## EWSASP_social_PRE             61  0.78  0.78  0.72   0.64  2.8 2.4
## EWSASP_leisuretime_PRE        61  0.71  0.73  0.62   0.56  1.8 2.2
## EWSASP_family_PRE             61  0.72  0.72  0.66   0.55  3.4 2.4
## 
## Non missing response frequency for each item
##                                  0    1    2    3    4    5    6    7    8
## EWSASP_schoolandwork_PRE      0.08 0.05 0.26 0.07 0.13 0.10 0.11 0.07 0.13
## EWSASP_everydaysituations_PRE 0.16 0.13 0.08 0.08 0.21 0.05 0.13 0.07 0.08
## EWSASP_social_PRE             0.23 0.13 0.21 0.10 0.07 0.05 0.15 0.02 0.05
## EWSASP_leisuretime_PRE        0.41 0.15 0.15 0.07 0.10 0.03 0.07 0.02 0.02
## EWSASP_family_PRE             0.18 0.08 0.10 0.16 0.15 0.08 0.16 0.05 0.03
##                               miss
## EWSASP_schoolandwork_PRE         0
## EWSASP_everydaysituations_PRE    0
## EWSASP_social_PRE                0
## EWSASP_leisuretime_PRE           0
## EWSASP_family_PRE                0

3 Bivariate assocations

3.1 Assocations of ChOCI sum scores and treatment response

3.2 Associations with treatment response

3.2.1 Comorbidity as predictors

The (non-nzv) comorbities are: Depression, PanicDisorder, SocialPhob, SpecificPhob, TourettesTics, ADHD, GAD, responder_3m_f. The Odds ratios of the comorbities with the outcome variable are: 1.48, 2.33, 0.95, 4.31, 0.45, 0.25, 1.5, 0. The odds are computed in favor of treatment success.

3.2.2 Odds Ratio comorbidity

3.2.3 Relative Risks Comorbidity

The relative risks of the comorbities with the outcome variable are: 0, 0.38, 0.59, 0.97, 1.24, 1.25, 1.53, 1.94. Relativs Risks are also computed in favor of success (so, they depict rather relative protectino probabilities).

3.2.4 OR/RR plots

3.2.5 Contingency tables for comorbidity with outcome (dichotomous)

Let’s plot the assocation of the comorbitity with the outcome var responder_3m. To that end, let’s tabulate the the 2x2 matrices (contingency matrices) for each comorbidity (yes/no) vs. responder (yes/no). For convenience, proportions (%) are depicted.

## [1] "Depression"
##    
##        1    0
##   0 0.38 0.55
##   1 0.04 0.04

## [1] "PanicDisorder"
##    
##        1    0
##   0 0.36 0.55
##   1 0.05 0.04

## [1] "SocialPhob"
##    
##        1    0
##   0 0.38 0.54
##   1 0.04 0.05

## [1] "SpecificPhob"
##    
##        1    0
##   0 0.32 0.55
##   1 0.09 0.04

## [1] "TourettesTics"
##    
##        1    0
##   0 0.39 0.54
##   1 0.02 0.05

## [1] "ADHD"
##    
##        1    0
##   0 0.39 0.50
##   1 0.02 0.09

## [1] "GAD"
##    
##        1    0
##   0 0.36 0.54
##   1 0.05 0.05

## [1] "responder_3m"
##    
##        1    0
##   0 0.00 0.59
##   1 0.41 0.00

## [1] "responder_3m_f"
##    
##        1    0
##   1 0.41 0.00
##   0 0.00 0.59

3.2.6 Overall number of responders

3.2.7 Number of responders per comorbidity

Let’s divide that up for each comorbidity, and plot it:

Some differences in the joint distribution of comorbidities and response appear.

Quite a few NAs.

Let’s look at it from some other perspective, different code, and plot it again, and see what happens:

And what it about if we eyeball the plain number? The table shows the frequencies for treatment success/failure as a contigency of comorbidity.

key value responder_3m n
ADHD 0 0 28
ADHD 0 1 22
ADHD 0 NA 5
ADHD 1 0 5
ADHD 1 1 1
Agoraphobia 0 0 33
Agoraphobia 0 1 23
Agoraphobia 0 NA 5
Depression 0 0 31
Depression 0 1 21
Depression 0 NA 4
Depression 1 0 2
Depression 1 1 2
Depression 1 NA 1
Dystymia 0 0 31
Dystymia 0 1 23
Dystymia 0 NA 5
Dystymia 1 0 2
EatingDis 0 0 33
EatingDis 0 1 23
EatingDis 0 NA 5
GAD 0 0 30
GAD 0 1 20
GAD 0 NA 3
GAD 1 0 3
GAD 1 1 3
GAD 1 NA 2
ODD 0 0 33
ODD 0 1 23
ODD 0 NA 5
PanicDisorder 0 0 31
PanicDisorder 0 1 20
PanicDisorder 0 NA 5
PanicDisorder 1 0 2
PanicDisorder 1 1 3
PTSD 0 0 33
PTSD 0 1 22
PTSD 0 NA 5
PTSD 1 1 1
SeparationAnx 0 0 33
SeparationAnx 0 1 23
SeparationAnx 0 NA 5
SocialPhob 0 0 30
SocialPhob 0 1 21
SocialPhob 0 NA 5
SocialPhob 1 0 3
SocialPhob 1 1 2
SpecificPhob 0 0 31
SpecificPhob 0 1 18
SpecificPhob 0 NA 5
SpecificPhob 1 0 2
SpecificPhob 1 1 5
TourettesTics 0 0 30
TourettesTics 0 1 22
TourettesTics 0 NA 5
TourettesTics 1 0 3
TourettesTics 1 1 1

3.2.8 First order correlations of sumscores with outcome

Let’s see which predictor variables (of the sum scores) correlate most strongly with the outcome.

Predictor CYBOCS_3m
CYBOCS_3m 1.00
ChOCI_R_P_sumimp_PRE 0.43
EWSASP_sum_PRE 0.43
CDI_S_sum_PRE 0.37
SCAS_S_P_sum_PRE 0.35
FAS_PR_sum_PRE 0.33
ChOCI_R_C_sumimp_PRE 0.31
EWSASC_sum_PRE 0.28
CYBOCS_pre_sum 0.26
ChOCI_R_P_sumsym_PRE 0.26
ChOCI_R_C_sumsym_PRE 0.09
SCAS_S_C_sum_PRE 0.07

Ok, that’s quite a range in strength of assocation.

Let’s visualize the correlations of the sumscores (of the psychometric scales) with the outcome variable.

4 Most important variables (narrow data set)

4.1 Type of most important variables

Let’s focus on the most important variables, to make life easier.

That should be all sum scores. Let’s look for them:

Ok, the variables are CYBOCS_pre_sum, ChOCI_R_C_sumsym_PRE, ChOCI_R_C_sumimp_PRE, EWSASC_sum_PRE, SCAS_S_C_sum_PRE, CDI_S_sum_PRE, ChOCI_R_P_sumsym_PRE, ChOCI_R_P_sumimp_PRE, FAS_PR_sum_PRE, EWSASP_sum_PRE, SCAS_S_P_sum_PRE. In total, 11 variables.

We can probably safely ignore ID. We should include basic and demographic variables:

Which gives us group, sex, age, Birthcountry, Education_parent, OCDonset, yearswithOCD, contact, distance, medication, medication_yesno, treatm_exp, OCD_treatm_exp, responder_3m, CYBOCS_3m, another 15 variables.

Of particular interest are of course responder_3m, CYBOCS_3m (outcomes) and group (experimental factor).

Next, let’s name the comorbidities.

These are Depression, Dystymia, PanicDisorder, Agoraphobia, SeparationAnx, SocialPhob, SpecificPhob, PTSD, TourettesTics, ADHD, ODD, EatingDis, GAD.

In total, 3 sets of variables then: basic variables (including outcome and experimental variables), sum scores of psychometric battery, and comorbidity.

In total, 39 Variables: group, sex, age, Birthcountry, Education_parent, OCDonset, yearswithOCD, contact, distance, medication, medication_yesno, treatm_exp, OCD_treatm_exp, responder_3m, CYBOCS_3m, CYBOCS_pre_sum, ChOCI_R_C_sumsym_PRE, ChOCI_R_C_sumimp_PRE, EWSASC_sum_PRE, SCAS_S_C_sum_PRE, CDI_S_sum_PRE, ChOCI_R_P_sumsym_PRE, ChOCI_R_P_sumimp_PRE, FAS_PR_sum_PRE, EWSASP_sum_PRE, SCAS_S_P_sum_PRE, Depression, Dystymia, PanicDisorder, Agoraphobia, SeparationAnx, SocialPhob, SpecificPhob, PTSD, TourettesTics, ADHD, ODD, EatingDis, GAD.

4.2 Coarse model

Vague defined, the model can be described as consisting of these predictors: demographics, psychometric scales, treatment (group), comorbities. The outcome is treatment response.

4.3 Missing values and sum scores

When tallying up sum scores, missing values cause problems. Assume 10 items to summed up. What if I have not responded to 9 items? If you count “zero” for the missing values, you will dramatically underestimate my true score. I wonder how the sum scores have been built here.

4.3.1 ChOCI scale (self-rated comorbidity)

The most items appear in the ChOCI scale. So let’s look there first.

Ok, good, no missings. Have they been replaced somehow? Where the participants forced to give some answer? This might be of interest for gauging the psychometric quality of the scale.

4.3.2 CYBOCS OCD symptoms

item n_na
CYBOCS_pre_OBS 0
CYBOCS_pre_COMP 0
CYBOCS_pre_sum 0
CYBOCS_pre_insight 2
CYBOCS_pre_avoid 6
CYBOCS_3m 5

Hm, here we find some missing values. So what was done to prevent bias here? We should follow up on that.

4.3.3 EWSASC (functioning)

Same procedure…

item n_na
EWSASC_schoolandwork_PRE 0
EWSASC_everydaysituations_PRE 0
EWSASC_social_PRE 0
EWSASC_leisuretime_PRE 0
EWSASC_family_PRE 0
EWSASC_sum_PRE 0

Ok, no NA’s.

4.3.4 SCAS (Anxiety)

item n_na
SCAS_S_C_1_PRE 0
SCAS_S_C_2_PRE 0
SCAS_S_C_3_PRE 0
SCAS_S_C_4_PRE 0
SCAS_S_C_5_PRE 0
SCAS_S_C_6_PRE 0
SCAS_S_C_7_PRE 0
SCAS_S_C_8_PRE 0
SCAS_S_C_9_PRE 0
SCAS_S_C_10_PRE 0
SCAS_S_C_11_PRE 0
SCAS_S_C_12_PRE 0
SCAS_S_C_sum_PRE 0
SCAS_S_P_1_PRE 0
SCAS_S_P_2_PRE 0
SCAS_S_P_3_PRE 0
SCAS_S_P_4_PRE 0
SCAS_S_P_5_PRE 0
SCAS_S_P_6_PRE 0
SCAS_S_P_7_PRE 0
SCAS_S_P_8_PRE 0
SCAS_S_P_9_PRE 0
SCAS_S_P_10_PRE 0
SCAS_S_P_11_PRE 0
SCAS_S_P_12_PRE 0
SCAS_S_P_sum_PRE 0

No NA’s.

4.3.5 CDI (Depression)

item n_na
PanicDisorder 0
CDI_S_1_PRE 0
CDI_S_2_PRE 0
CDI_S_3_PRE 0
CDI_S_4_PRE 0
CDI_S_5_PRE 0
CDI_S_6_PRE 0
CDI_S_7_PRE 0
CDI_S_8_PRE 0
CDI_S_9_PRE 0
CDI_S_10_PRE 0
CDI_S_sum_PRE 0

No NA’s.

4.3.6 FAS (family accomodation)

item n_na
FAS_PR_1_PRE 0
FAS_PR_2_PRE 0
FAS_PR_3_PRE 0
FAS_PR_4_PRE 0
FAS_PR_5_PRE 0
FAS_PR_6_PRE 0
FAS_PR_7_PRE 0
FAS_PR_8_PRE 0
FAS_PR_9_PRE 0
FAS_PR_10_PRE 0
FAS_PR_11_PRE 0
FAS_PR_12_PRE 0
FAS_PR_sum_PRE 0

No NA’s.

4.3.7 EWSASP (functioning, 2nd scale)

item n_na
EWSASP_schoolandwork_PRE 0
EWSASP_everydaysituations_PRE 0
EWSASP_social_PRE 0
EWSASP_leisuretime_PRE 0
EWSASP_family_PRE 0
EWSASP_sum_PRE 0

No NA’s.

4.3.8 SCAS (Anxiety)

item n_na
SCAS_S_C_1_PRE 0
SCAS_S_C_2_PRE 0
SCAS_S_C_3_PRE 0
SCAS_S_C_4_PRE 0
SCAS_S_C_5_PRE 0
SCAS_S_C_6_PRE 0
SCAS_S_C_7_PRE 0
SCAS_S_C_8_PRE 0
SCAS_S_C_9_PRE 0
SCAS_S_C_10_PRE 0
SCAS_S_C_11_PRE 0
SCAS_S_C_12_PRE 0
SCAS_S_C_sum_PRE 0
SCAS_S_P_1_PRE 0
SCAS_S_P_2_PRE 0
SCAS_S_P_3_PRE 0
SCAS_S_P_4_PRE 0
SCAS_S_P_5_PRE 0
SCAS_S_P_6_PRE 0
SCAS_S_P_7_PRE 0
SCAS_S_P_8_PRE 0
SCAS_S_P_9_PRE 0
SCAS_S_P_10_PRE 0
SCAS_S_P_11_PRE 0
SCAS_S_P_12_PRE 0
SCAS_S_P_sum_PRE 0

No NA’s.

5 Interocular Trauma Test

5.1 Outcome: responder_3m

Before applying some sophisticated (aka esoteric) models, let’s perform the intraocular trauma test for the data: let’s see whether the effect is so crisp that it hits us right between the eyes. That is., is there an association between group and response?

Because for the fun of it (and because the question if of particular interest), let’s plot from different point of views.

Stapled bars:

facetted bars:

proportion bars (stapled):

Hm, it appears as if the experimental group was less successful than the control group. That result might hit us between the eyes… But one would certainly hope for something the other way round.

The bare numbers:

group responder_3m n
ICBT 0 21
ICBT 1 10
ICBT NA 2
waitlist 0 12
waitlist 1 13
waitlist NA 3

5.2 Outcome: CYBOCS_3m

For this outcome, it seems as if there was some (slight?) advantage for the treatment group. However, the overlap is substantial.

Here come the bare figures:

group group_mean group_md group_sd group_IQR
ICBT 14.22581 14 5.903161 7
waitlist 12.56000 12 6.807349 9